Real-Time Screen Generation for Adaptive Athlete Score Estimation
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Solution Overview
Problem
Conventional scoring systems fail to provide estimated scores for planned performances and real-time adjustments when athletes deviate from pre-planned routines during events scored by judges.
Innovation Solution
A system utilizing a 3D laser sensor, camera, and element recognition device to analyze athlete movements, generating real-time estimated scores by comparing actual and planned performance data, updating scores as the performance progresses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional motion analysis systems are used to estimate scores, then scores can be estimated for fixed routines, but the system cannot provide accurate scores when athletes change their routines during performance
Solution Approach 1:
The system dynamically updates the estimated score in real-time as the performance progresses and as the athlete's actual routine deviates from the planned routine. The score display transitions from a static pre-performance estimate to a dynamic during-performance estimate that adapts to actual movements detected by the motion analysis system.
Solution Approach 2:
The system provides continuous feedback by comparing the athlete's actual performance elements with the planned routine elements. When deviations are detected through motion analysis, the system recalculates and updates the estimated score, providing real-time feedback that reflects the current performance state rather than relying solely on pre-performance assumptions.
2Productivity
If the system provides detailed real-time score updates, then viewer engagement improves, but the system complexity increases
Solution Approach 1:
The motion analysis system serves multiple functions: it detects athlete movements, identifies performance elements, compares them with planned routines, calculates scores, and provides real-time feedback. By making the system multi-functional, the patent avoids needing separate systems for each task, thereby managing complexity while delivering comprehensive live scoring capabilities.
Solution Approach 2:
The system performs preliminary analysis by establishing the planned routine and expected score before performance begins. This pre-computation of the baseline routine allows the during-performance analysis to focus only on detecting deviations from this known pattern, simplifying the real-time processing requirements while enabling detailed score updates.
Data Source
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AI summary
An information processing apparatus 100 acquires, when an actual performance by an athlete is started, an element that has already been performed and a score of the element that has already been performed in the actual performance, based on data acquired in real time. The information processing apparatus 100 estimates an element with a high probability of being performed hereafter in the actual performance, based on at least one of the planned performance information and the data. The information processing apparatus 100 estimates an estimated score of the actual performance being performed, based on the score of the element that has already been performed and an estimated score in the case in which estimated elements that have not been performed succeed, and generates screen information to display the estimated score of planned performance and the estimated score of the actual performance.